Fall Detection Using Deep Learning in Range-Doppler Radars
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[1] A. Bourke,et al. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. , 2008, Medical engineering & physics.
[2] Youngwook Kim,et al. Human Activity Classification Based on Micro-Doppler Signatures Using a Support Vector Machine , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[3] Marjorie Skubic,et al. Doppler Radar Fall Activity Detection Using the Wavelet Transform , 2015, IEEE Transactions on Biomedical Engineering.
[4] Wenbing Tao,et al. Radar-based fall detection exploiting time-frequency features , 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).
[5] Shyamal Patel,et al. A review of wearable sensors and systems with application in rehabilitation , 2012, Journal of NeuroEngineering and Rehabilitation.
[6] Victor C. Chen,et al. Analysis of radar micro-Doppler with time-frequency transform , 2000, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496).
[7] Carmine Clemente,et al. Developments in target micro-Doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar , 2013, EURASIP J. Adv. Signal Process..
[8] Boualem Boashash,et al. Radar fall detection using principal component analysis , 2016, SPIE Defense + Security.
[9] Changzhi Li,et al. FMCW radar fall detection based on ISAR processing utilizing the properties of RCS, range, and Doppler , 2016, 2016 IEEE MTT-S International Microwave Symposium (IMS).
[10] Jean Meunier,et al. Fall Detection from Human Shape and Motion History Using Video Surveillance , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).
[11] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[12] Branka Jokanovic,et al. Multi-window time–frequency signature reconstruction from undersampled continuous-wave radar measurements for fall detection , 2015 .
[13] Carmine Clemente,et al. A novel algorithm for radar classification based on doppler characteristics exploiting orthogonal Pseudo-Zernike polynomials , 2015, IEEE Transactions on Aerospace and Electronic Systems.
[14] Israel Gannot,et al. A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound—Proof of Concept on Human Mimicking Doll Falls , 2009, IEEE Transactions on Biomedical Engineering.
[15] Moeness Amin,et al. Radar for Indoor Monitoring: Detection, Classification, and Assessment , 2017 .
[16] Min Chen,et al. Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring , 2016, Mobile Networks and Applications.
[17] Yeh-Liang Hsu,et al. A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring , 2010, Sensors.
[18] Dave Tahmoush,et al. Time-integrated range-Doppler maps for visualizing and classifying radar data , 2011, 2011 IEEE RadarCon (RADAR).
[19] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[20] Moeness G. Amin,et al. Fall motion detection using combined range and Doppler features , 2016, 2016 24th European Signal Processing Conference (EUSIPCO).
[21] Ali Cafer Gürbüz,et al. Importance ranking of features for human micro-Doppler classification with a radar network , 2013, Proceedings of the 16th International Conference on Information Fusion.
[22] Gang Zhou,et al. Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.
[23] Franck Multon,et al. Fall Detection With Multiple Cameras: An Occlusion-Resistant Method Based on 3-D Silhouette Vertical Distribution , 2011, IEEE Transactions on Information Technology in Biomedicine.
[24] Branka Jokanovic,et al. Effect of data representations on deep learning in fall detection , 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).
[25] J. Stevens,et al. The direct costs of fatal and non-fatal falls among older adults - United States. , 2016, Journal of safety research.
[26] Dimitrios Makris,et al. Fall detection system using Kinect’s infrared sensor , 2014, Journal of Real-Time Image Processing.
[27] G. Bergen,et al. Falls and Fall Injuries Among Adults Aged ≥65 Years - United States, 2014. , 2016, MMWR. Morbidity and mortality weekly report.
[28] Liang Liu,et al. Automatic fall detection based on Doppler radar motion signature , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[29] P. Leroux,et al. SFCW microwave radar for in-door fall detection , 2012, 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS).
[30] F. Groen,et al. Human walking estimation with radar , 2003 .
[31] Youngwook Kim,et al. Classification of human activity on water through micro-Dopplers using deep convolutional neural networks , 2016, SPIE Defense + Security.
[32] Wenbing Tao,et al. Radar-based fall detection based on Doppler time-frequency signatures for assisted living , 2015 .
[33] Branka Jokanovic,et al. Radar fall motion detection using deep learning , 2016, 2016 IEEE Radar Conference (RadarConf).
[34] Marco Mercuri,et al. Embedded DSP-Based Telehealth Radar System for Remote In-Door Fall Detection , 2015, IEEE Journal of Biomedical and Health Informatics.
[35] Hao Ling,et al. Human activity classification based on micro-Doppler signatures using an artificial neural network , 2008, 2008 IEEE Antennas and Propagation Society International Symposium.
[36] Hlaing Minn,et al. Real-Time Sleep Apnea Detection by Classifier Combination , 2012, IEEE Transactions on Information Technology in Biomedicine.
[37] Moeness G. Amin,et al. Effects of range spread and aspect angle on radar fall detection , 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).
[38] Bijan G. Mobasseri,et al. A time-frequency classifier for human gait recognition , 2009, Defense + Commercial Sensing.
[39] Dong Xuan,et al. PerFallD: A pervasive fall detection system using mobile phones , 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).
[40] Mohamed S. Kamel,et al. Integrating Heterogeneous Classifier Ensembles for EMG Signal Decomposition Based on Classifier Agreement , 2010, IEEE Transactions on Information Technology in Biomedicine.
[41] R. Bajcsy,et al. Wearable Sensors for Reliable Fall Detection , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[42] Kenneth Meijer,et al. Activity identification using body-mounted sensors—a review of classification techniques , 2009, Physiological measurement.
[43] Rita Cucchiara,et al. A multi‐camera vision system for fall detection and alarm generation , 2007, Expert Syst. J. Knowl. Eng..